IDEAS home Printed from https://ideas.repec.org/a/ect/emjrnl/v2y1999i2p226-240.html

Contructive data mining: modeling consumers' expenditure in Venezuela

Author

Listed:
  • JULIA CAMPOS
  • NEIL R. ERICSSON

Abstract

Hoover and Perez (1999) advocate a constructive approach to data mining. The current paper identifies four pejorative senses of data mining and shows how Hoover and Perez?s approach counters each. To assess the benefits of constructive data mining, the current paper applies a data-mining algorithm similar to Hoover and Perez?s to a dataset for Venezuelan consumers? expenditure. The selected model is economically sensible and statistically satisfactory; and it illustrates how data can be highly informative, even with relatively few observations. Limitations to algorithmically based data mining provide opportunities for the researcher to contribute value added in the empirical analysis.

Suggested Citation

  • Julia Campos & Neil R. Ericsson, 1999. "Contructive data mining: modeling consumers' expenditure in Venezuela," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 226-240.
    • Handle: RePEc:ect:emjrnl:v:2:y:1999:i:2:p:226-240
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Todd E. Clark, 2004. "Can out-of-sample forecast comparisons help prevent overfitting?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 115-139.
    2. Barkbu, Bergljot Bjornson & Nymoen, Ragnar & Roed, Knut, 2003. "Wage coordination and unemployment dynamics in Norway and Sweden," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 37-58, March.
    3. Andrew B. Martinez & Neil R. Ericsson, 2025. "Improving empirical models and forecasts with saturation-based machine learning," Annals of Operations Research, Springer, vol. 346(1), pages 447-487, March.
    4. Gernot Doppelhofer & Xavier Sala I Martin & Melvyn Weeks, 2005. "Jointness of Determinants of Economics Growth," Money Macro and Finance (MMF) Research Group Conference 2005 54, Money Macro and Finance Research Group.
    5. Budina, Nina & Maliszewski, Wojciech & de Menil, Georges & Turlea, Geomina, 2006. "Money, inflation and output in Romania, 1992-2000," Journal of International Money and Finance, Elsevier, vol. 25(2), pages 330-347, March.
    6. Morris A. Davis & Michael G. Palumbo, 2001. "A primer on the economics and time series econometrics of wealth effects," Finance and Economics Discussion Series 2001-09, Board of Governors of the Federal Reserve System (U.S.).
    7. Ricardo Bebczuk & Maria Lorena Garegnani, 2012. "Real State as Housing and as Financial Investment: A First Assessment for Argentina," IIE, Working Papers 095, IIE, Universidad Nacional de La Plata.
    8. John Baffes, 2010. "More on the energy/nonenergy price link," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1555-1558.
    9. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge.
    10. Ericsson, Neil R. & Maasoumi, Esfandiar & Mizon, Grayham E., 2001. "A retrospective on J.D. Sargan and his contribution to Econometrics," Discussion Paper Series In Economics And Econometrics 0108, Economics Division, School of Social Sciences, University of Southampton.
    11. Neil R. Ericsson & Esfandiar Maasoumi & Grayham E. Mizon, 2001. "A retrospective on J. Denis Sargan and his contributions to econometrics," International Finance Discussion Papers 700, Board of Governors of the Federal Reserve System (U.S.).
    12. Mr. Claudio A Paiva, 2006. "External Adjustment and Equilibrium Exchange Rate in Brazil," IMF Working Papers 2006/221, International Monetary Fund.
    13. Torre Cepeda Leonardo E. & Flores Segovia Miguel A., 2020. "Private Banking Credit and Economic Growth in Mexico: A State Level Panel Data Analysis 2005-2018," Working Papers 2020-17, Banco de México.
    14. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2026. "Could the Bank of England have avoided mis-forecasting UK inflation during 2021–24?," International Journal of Forecasting, Elsevier, vol. 42(1), pages 13-21.
    15. Garcés Díaz Daniel, 2020. "On the Drivers of Inflation in Different Monetary Regimes," Working Papers 2020-16, Banco de México.
    16. Neil R. Ericsson & Steven B. Kamin, 2008. "Constructive data mining: modeling Argentine broad money demand," International Finance Discussion Papers 943, Board of Governors of the Federal Reserve System (U.S.).
    17. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ect:emjrnl:v:2:y:1999:i:2:p:226-240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.